nparMD: Nonparametric Analysis of Multivariate Data in Factorial Designs

Analysis of multivariate data with two-way completely randomized factorial design. The analysis is based on fully nonparametric, rank-based methods and uses test statistics based on the Dempster's ANOVA, Wilk's Lambda, Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate response is allowed to be ordinal, quantitative, binary or a mixture of the different variable types. The package offers two functions performing the analysis, one for small and the other for large sample sizes. The underlying methodology is largely described in Bathke and Harrar (2016) <doi:10.1007/978-3-319-39065-9_7> and in Munzel and Brunner (2000) <doi:10.1016/S0378-3758(99)00212-8>.

Getting started

Package details

AuthorMaximilian Kiefel and Arne C. Bathke
MaintainerMaximilian Kiefel <physik210@hotmail.com>
LicenseGPL-2 | GPL-3
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nparMD")

Try the nparMD package in your browser

Any scripts or data that you put into this service are public.

nparMD documentation built on May 1, 2019, 11:16 p.m.